Modeling techniques for integration of process systems

Edwin Zondervan*, André B. De Haan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Increasing social, economic and environmental pressure force the process industry to look for new ways to improve the overall operation of their process systems.Since these systems are operated at different levels of decision (apparatus, plant, enterprise, etc.) integration of the different levels is expected to lead to significant improvements in system efficiency (energy, waste, costs, quality, product distribution, logistics, etc). Integration also results in increased mathematical complexity that can not be handled with the current numerical methods. This leads inevitably to a paradox: the integrated problem needs to be decomposed again into simpler sub-problems that are solved independently providing sub-optimal solutions. This paper will discuss why integration fails and which steps are needed to break the paradox. Focus will be on new modeling techniques for the different decision levels.

Original languageEnglish
Title of host publicationProceedings - 23rd European Conference on Modelling and Simulation, ECMS 2009
PublisherEuropean Council for Modelling and Simulation
Pages334-337
Number of pages4
ISBN (Print)0955301882, 9780955301889
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event23rd European Conference on Modelling and Simulation, ECMS 2009 - Madrid, Spain
Duration: 9 Jun 200912 Jun 2009
Conference number: 23

Conference

Conference23rd European Conference on Modelling and Simulation, ECMS 2009
Abbreviated titleECMS 2009
CountrySpain
CityMadrid
Period9/06/0912/06/09

Keywords

  • Hybrid modeling
  • Integration paradox
  • Optimization
  • Process systems engineering

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